Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISSEGGER Stefan | 78 |
| 2 | MANZIN Lorrenzo | 69 |
| 3 | MALDONADO Anthony | 57 |
| 4 | VALLÉE Boris | 79 |
| 5 | GESBERT Élie | 63 |
| 6 | ROUX Anthony | 73 |
| 7 | SIMON Julien | 65 |
| 8 | TULIK Angélo | 64 |
| 9 | WÜRTZ SCHMIDT Mads | 70 |
| 10 | FRANZ Marcel | 62 |
| 11 | OLDANI Stefano | 65 |
| 12 | MAYRHOFER Marius | 70 |
| 13 | FEILLU Romain | 62 |
| 14 | LEDANOIS Kévin | 67 |
| 15 | SOUPE Geoffrey | 70 |